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期刊


ISSN1566-2535
刊名Information Fusion
参考译名信息融合
收藏年代2004～2024



全部

2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015
2016 2017 2018 2019 2020 2021
2022 2023 2024

2020, vol.53 2020, vol.54 2020, vol.55 2020, vol.56 2020, vol.57 2020, vol.58
2020, vol.59 2020, vol.60 2020, vol.61 2020, vol.62 2020, vol.63 2020, vol.64

题名作者出版年年卷期
Networked fusion estimation with multiple uncertainties and time-correlated channel noiseCaballero-Aguila, R.; Hermoso-Carazo, A.; Linares-Perez, J.20202020, vol.54
Infrared and visible image fusion via detail preserving adversarial learningMa, Jiayi; Liang, Pengwei; Yu, Wei; Chen, Chen; Guo, Xiaojie; Wu, Jia; Jiang, Junjun20202020, vol.54
Integrating model- and data-driven methods for synchronous adaptive multi-band image fusionLin, Suzhen; Han, Ze; Li, Dawei; Zeng, Jianchao; Yang, Xiaoli; Liu, Xinwen; Liu, Feng20202020, vol.54
Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weightingSun, Jie; Li, Hui; Fujita, Hamido; Fu, Binbin; Ai, Wenguo20202020, vol.54
AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop frameworkChen, Min; Zhou, Ping; Wu, Di; Hu, Long; Hassan, Mohammad Mehedi; Alamri, Atif20202020, vol.54
IFCNN: A general image fusion framework based on convolutional neural networkZhang, Yu; Liu, Yu; Sun, Peng; Yan, Han; Zhao, Xiaolin; Zhang, Li20202020, vol.54
A chest-based continuous cuffless blood pressure method: Estimation and evaluation using multiple body sensorsHeydari, Fatemeh; Ebrahim, Malikeh P.; Redoute, Jean-Michel; Joe, Keith; Walker, Katie; Yuce, Mehmet Rasit20202020, vol.54
A method based on the disappointment almost stochastic dominance degree for the multi-attribute decision making with linguistic distributionsChen, Xin; Liang, Haiming; Gao, Yuan; Xu, Weijun20202020, vol.54
Distributed estimation over a low-cost sensor network: A Review of state-of-the-artHe, Shaoming; Shin, Hyo-Sang; Xu, Shuoyuan; Tsourdos, Antonios20202020, vol.54
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelinesPulgar, Francisco J.; Charte, Francisco; Rivera, Antonio J.; del Jesus, Maria J.20202020, vol.54
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